Get Beyond DLP Limitations

The problem of discovering sensitive information is not new. However, traditional data discovery solutions haven’t been able to deal with big data volumes, lack Identity-awareness essential for privacy and don’t determine data ownership or provenance.

BigID takes a new machine learning based approach to personal data discovery that is focused on personal information and that leverages identity intelligence and machine learning to deliver an accurate and scalable method focused on personal data, satisfies privacy requirements, and leverages Big Data technologies to achieve scale:

Get Beyond DLP Limitations

Fast time to valueFast time to value

Avoid the hassle of having to

code non-intuitive regular expressions.

Reduced False PositivesReduced False Positives

Improve accuracy of discovery and mapping of PII through identity intelligence.

BigData Scale

Big Data Scale

Find identity data across Big Data at Big Data scale.

Structured and UnstructuredStructured and Unstructured

Leverage machine learning to accurately discover, identify and catalogue PII in Big Data.

Satisfy Privacy RegulationsSubject Level Index

Build a PII inventory for identity subjects that satisfy right to be forgotten, right to access, and data portability.